Bayesian Robust Generalized Mixed Models for Longitudinal Data

To perform model estimation using MCMC algorithms with Bayesian methods for incomplete longitudinal studies on binary outcomes that are measured repeatedly on subjects over time with drop-outs. Details about the method can be found in the vignette or < https://sites.google.com/view/kuojunglee/r-packages/bayesrgmm>.


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Reference manual

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install.packages("BayesRGMM")

1.0 by Kuo-Jung Lee, 15 days ago


https://sites.google.com/view/kuojunglee/r-packages


Browse source code at https://github.com/cran/BayesRGMM


Authors: Kuo-Jung Lee [aut, cre] , Ray-Bing Chen [ctb] , Keunbaik Lee [ctb] , Chanmin Kim [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp, MASS, batchmeans, abind, reshape, msm, mvtnorm, plyr, Rdpack

Suggests testthat

Linking to Rcpp, RcppArmadillo, RcppDist


See at CRAN